Who this works for.
- Computer vision in production
- Recommendation systems and ranking
- Forecasting and time-series
Every Australian engagement comes with these foundations.
Problem framing
Half the work is turning a business problem into a learnable one. We do that with you.
Data audit
Honest assessment of whether your data supports the model you want.
Training pipeline
Reproducible training, version-controlled datasets, model registry.
Production serving
Inference optimised for latency and cost, with proper monitoring.
MLOps
Retraining schedules, drift detection, A/B testing of models.
How a machine learning engagement actually runs.
Deliverables.
- Production model with API
- Training pipeline
- Eval suite
- Monitoring dashboard
- Model card and documentation
Tools we use.
We're stack-flexible. If your team already runs on something different, we'll match it.
Three engagement sizes. One fixed price for each.
Quotes from three matched Australian developers come with their own pricing in AUD. These ranges are what most projects land on.
2-week feasibility study with a baseline model on your data.
- Data audit
- Baseline model
- Go/no-go report
Production-ready model deployed and monitored.
- Custom training pipeline
- Production serving
- MLOps
- 8 to 12 weeks
Multi-model platform with shared infra, feature store, and tooling.
- Feature store
- Multiple models
- Internal platform
- Embedded team